Speaker Recognition: Building the Mixer 4 and 5 Corpora

Transcription

1 Speaker Recognition: Building the Mixer 4 and 5 Corpora Linda Brandschain, Christopher Cieri, David Graff, Abby Neely, Kevin Walker {brndschn ccieri graff aneely walkerk}@ldc.upenn.edu University of Pennsylvania Linguistic Data Consortium

2 Motivation Mixer supports R&D of speaker recognition systems robust to variation in: language: Arabic, Mandarin, Russian, Spanish channel: telephone + 8 to 14 microphones conversational situation: telephone conversation, interviews, reading words, phrases, sentences, transcripts, written texts Mixer 4 channel variation Mixer 5 channel conversational situation

3 Comparison of Phases SB M1 M2 M3 M4 M5 Core Calls (8+) Variable Environments Unique Handset (4+) Extended Data (20+) Multilingual (4+) Cross Channel (2 or 4) Transcript Reading (2+) Interviews (6)

4 Mixer Platform Design Mixer platform designed to address changing telephony Issues Encountered increased cell phone use inexpensive domestic and international calling rates rise in use of call forwarding and call-screening Solutions reduce hours of the study exploit all lines available to robot operator reduce impediments to matching subjects allow any pairing, including duplicates over recruit set goals 20 25% higher than required by project sponsors lower per call payment; large completion bonuses encourage subjects to give true, narrow availability schedule increase robot activity to combat increased miss ratio

5 Protocol

6 Protocol

7 Protocol

8 Protocol

9 Diagram of Platform Protocol

10 Mixer Call Platform Mixer 4 & 5 conducted simultaneously Studies began when participant pool >= topics cycled current political and social issues, religion, hobbies, sports, etc no penalty for speaking off topic so long as conversation is topical participants could refuse call after hearing the topic of the day Auditing calls audited for length, sound quality, quantity/suitability of speech. participants who reached their goal were deactivated

11 Cross Channel Interview Room Subject Interviewer 13

12 Cross Channel Recording Room

13 Multi-Channel Set-Up Ch Microphone Placement Subject/Reference 1 Shure MX185 Lavalier Interviewer 2 Shure MX185 Lavalier Subject 3 Etymotic Micro-array Interviewer 4 Shure MX418X Podium Desk Front Center 5 Crown PZM-6D Desk Top Center 6 Audio Technica AT3035 Desk Front Right 7 Audio Technica Pro45 Hanging Center 8 Panasonic Camcorder Desk Top Right 9 RODE NT6 Desk Front Far Left 10 RODE NT6 Desk Front Center Left 11 RODE NT6 Desk Front Center Right 12 RODE NT6 Desk Front Center Far Right 13 AcoustiMagic Array Wall Mounted Center 14 Lightspeed Headset Subject

14 Mixer 4 Mixer 4 was designed to support speaker recognition research and technology evaluations Demographics of Subject Pool Native Speakers of American English 25% from Philadelphia 25% from Berkeley 50% from the entire US, however we recruited heavily in Georgia, Texas, Illinois, and New York Original Goals for Mixer Subjects that made 10, 10 minute phone calls 200 Visited one of our two sites where they completed 2 cross-channel call 100 Participants were asked to complete extended data calls (20 x 10-minute phone calls)

15 Speake Mixer 4 Call Yields Total Calls Total Minutes Total Hours Subjects with 10+ Calls Subjects with 20+ Calls , Calls Made

16 Mixer 5 Mixer 5 focused on cross-channel recordings of face to face interviews where the goal is to elicit speech within a variety of situations. Demographics of Subject Pool Native language undefined, however participants had to be fluent in English Approximately 50% recruited from Philadelphia, PA Approximately 50% recruited from Berkeley, CA Goals for Mixer Participants Each Participant must complete 6 half hour sessions completed in no less than 6 days. Each session had a mandatory 30 minute break between sessions. Each of the 300 Participants must also complete 10 ten-minute phone calls Foreign language calls were encouraged but not required Bonuses were issued for the completion of 4 unique phone calls High/Low Vocal Effort Phone Calls ~1/3 of Mixer 5 Participants completed these calls Lightspeed XLC-20 headphones provide 40db passive acoustic isolation High Vocal Effort: Input audio is 65dB and relative levels of the mix components are 30% side-tone, 40% remote speaker and 30% white noise. Low Vocal Effort: Input audio is 65dB with no white noise.

17 Mixer 5 Interview Protocol Session Number Min Repeating Questions Warm-up 4 4 Family Personal 5 5 Informal Conversation Transcript Reading Story Reading 5 5 Sentence Reading 5 5 Phrase/Word List Reading 5 5 Low Vocal/Effort 5 5 High Vocal/Effort 4 4 Total Session

18 Mixer 5 Prompter

19 Speakers 300 Mixer 5 Call Yields 250 Total Calls Total Minutes Total Hours Subjects with 10+ Calls Calls

20 Speakers 300 Mixer 5 Interview Yields 250 Total Interviews Total Minutes Total Hours Subjects with 6+ Interviews Interviews

21 Future Work Mixer 1 & 2 in LDC publication pipeline Mixer 3 used in SRE06 & LRE07; remainder reserved for future evaluation Mixer 4 collection underway part used in SRE08 remainder reserved for future evaluation Mixer 5 interview collection ahead of schedule phone call collection also well underway part used in SRE08; remainder reserved for future evaluation Mixer 6 (Graybeard) subjects from previous CTS collection return to join Potential new studies conduct Mixer 5 style interviews in other languages conduct studies like Mixer 1 & 2 but involving other languages All Mixer data will be published after its use in technology evaluations.